检验TestDaF写作和口语评估中的严重性和中心性效应:一种扩展的贝叶斯多方面Rasch分析

IF 1 Q2 SOCIAL SCIENCES, INTERDISCIPLINARY
T. Eckes, K. Jin
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引用次数: 6

摘要

摘要严重性和中心性是两种主要的评分者效应,对绩效评估的有效性和公平性构成威胁。采用金和王(2018)的扩展facets建模方法,我们使用贝叶斯MCMC方法分别估计了基于网络的TestDaF(德语作为外语的测试)写作和口语评估中评分者严重性和中心性效应的大小。研究结果表明,(a)扩展facets模型比忽略任何一种或两种评分者效应的模型具有更好的数据-模型拟合性,(b)扩展模型的评分量表和部分信用版本在写作和口语的数据-模式拟合方面存在差异,(c)评分者严重程度和中心性估计彼此之间没有显著相关性,(d)中心性效应对考生的排名顺序有明显的影响。讨论的重点是对业绩评估中评级质量的分析和评估的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Examining severity and centrality effects in TestDaF writing and speaking assessments: An extended Bayesian many-facet Rasch analysis
Abstract Severity and centrality are two main kinds of rater effects posing threats to the validity and fairness of performance assessments. Adopting Jin and Wang’s (2018) extended facets modeling approach, we separately estimated the magnitude of rater severity and centrality effects in the web-based TestDaF (Test of German as a Foreign Language) writing and speaking assessments using Bayesian MCMC methods. The findings revealed that (a) the extended facets model had a better data–model fit than models that ignored either or both kinds of rater effects, (b) rating scale and partial credit versions of the extended model differed in terms of data–model fit for writing and speaking, (c) rater severity and centrality estimates were not significantly correlated with each other, and (d) centrality effects had a demonstrable impact on examinee rank orderings. The discussion focuses on implications for the analysis and evaluation of rating quality in performance assessments.
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来源期刊
International Journal of Testing
International Journal of Testing SOCIAL SCIENCES, INTERDISCIPLINARY-
CiteScore
3.60
自引率
11.80%
发文量
13
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